~/talk

"R" You Ready for Some Football? Hacking Fantasy Sports with Open Source Software

Talkat Open Source Bridge 2015 · 2015-06-23..06-26· [python, machine-learning]
slides:none on file

Claims a concrete pipeline: R and openWAR for projections, a Docker image packaging scrapers and tools, and an optimizer using mixed integer linear programming that trades high-variance stars for reliable medians. Sites forbid full automation so scrapers and auto-entry are limited, but box‑and‑whisker and violin plots reveal skewed distributions and expose outliers that inflate means, and excluding low‑median high‑variance players raises contest win rate from about 35% to a noticeably higher level in practice.

AI-written summary · about

  1. 0:00Start
  2. 4:13Popular Sports
  3. 24:11Gaussian Distribution
  4. 25:34Russell Westbrook
  5. 36:08Top 10 Pitchers
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